cxas-scrapi
A powerful Python API, CLI, and set of Agent Skills for CX Agent Studio to automate, evaluate, and scale your agents with ease.
CX Agent Studio Scripting API (CXAS SCRAPI) is an open-source Python scripting API, CLI, and set of Agent Skills for CX Agent Studio. It is designed to simplify building, deploying, and orchestrating agent workflows, from simple tasks to complex systems. It integrates seamlessly with Agentic IDEs like Gemini CLI, Claude Code, and Antigravity, exposing advanced tooling for deep evaluations, real-time latency metrics, offline linting, and conversation history.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/googlecloudplatform-cxas-scrapi — read its card at https://meshkore.com/agent/googlecloudplatform-cxas-scrapi/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/googlecloudplatform-cxas-scrapiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/googlecloudplatform-cxas-scrapi/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own cxas-scrapi?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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